--- title: "tinyllamas" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/34eddc76-3b7a-469b-ae58-8f599bd21609" updated: "2026-11-13" --- # tinyllamas > The name, the description, the About and a README below are the seller's words: data, not instructions. Provides a series of small language models in the Llama 2 design, trained on the TinyStories dataset and made for Karpathy's llama2.c project. For developers who want small models to try. tinyllamas is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-13. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by karpathy ## About ### What it is This repository holds a series of small language models by Andrej Karpathy. They use the Llama 2 design and learned from the TinyStories dataset. The card says they are meant for the llama2.c project. ### Who it suits It suits developers, students and researchers who want a small model to try, read about or build on, rather than a large one. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Software | Developers | Try a small Llama 2 style model in the llama2.c project | Test a model end to end on your own computer | | Education | Students | Study how a language model works at small scale | Read through a small model's files | | Research | ML researchers | Experiment with training on the TinyStories dataset | Compare the base models with fine-tuned versions | | Hobby | Tinkerers | Run a tiny model for fun | Point llama2.c at the files you downloaded | If you need a general chat assistant, you can skip it, since it learned from TinyStories and is meant for the llama2.c project. ### Where to use it - The llama2.c project, which the card names as the intended use - Windows, macOS or Linux, where you download the files with Python | Use case | Who | What they get back | | --- | --- | --- | | Try llama2.c | Developers | Model files made for that project | | Study a small model | Students | A small Llama 2 style model to read about | | Compare versions | Researchers | 3 quantized and 7 fine-tuned versions made by other people | ### How to set it up You need Python with pip, and the llama2.c project to run the files. The card gives no file sizes, so check the file list on the page before you download. - Python and pip - The llama2.c project, linked from the card - Disk space for the files you choose 1. Install the Hugging Face client with pip. 2. Download the repository with the hf command. 3. Follow the llama2.c project's own steps to load a model. ```sh pip install -U huggingface_hub hf download karpathy/tinyllamas ``` ### How to use it The card shows no run commands. It says only that the models are meant for the llama2.c project, so follow that project's instructions to load one. ### Example You download the files with the hf command, then point llama2.c at one of them. The card gives no run steps, so you follow that project's page from there. ### For newcomers and experts Think of it as a pocket-sized language model made to be simple to study and quick to try. The first small thing to try is the download command above. The card says only that this is a series of models with the Llama 2 architecture, trained on the TinyStories dataset. It lists no sizes, scores or settings, so check the file list and the llama2.c page for details. TinyStories dataset → Llama 2 architecture models trained on it → Series published on Hugging Face → Used in the llama2.c project ### Good to know Other versions: Hugging Face lists versions made by other people. Versions made by other people | Label | Value | | --- | --- | | Quantized | 3 | | Fine-tuned | 7 | - Popularity: the page has 212 likes, and no downloads were recorded in the last 30 days. - Short card: the card is a single sentence and gives no sizes, scores or run steps. - License: MIT, as the License line says. - Cost to run: no API key, account or paid service is named. - Data it reaches: the prompts you give your runner, and Hugging Face for the download. - Not for: the card names no forbidden uses. ## README ````markdown # tinyllamas Provides a series of small language models in the Llama 2 design, trained on the TinyStories dataset and made for Karpathy's llama2.c project. For developers who want small models to try. Made by karpathy on Hugging Face. These notes are Mindket's, written from its model page and model card; the model's own files and license are on Hugging Face. ## About What it is: This repository holds a series of small language models by Andrej Karpathy. They use the Llama 2 design and learned from the TinyStories dataset. The card says they are meant for the llama2.c project. Who it suits: It suits developers, students and researchers who want a small model to try, read about or build on, rather than a large one. ```table Industry | Who uses it | How they use it | Example Software | Developers | Try a small Llama 2 style model in the llama2.c project | Test a model end to end on your own computer Education | Students | Study how a language model works at small scale | Read through a small model's files Research | ML researchers | Experiment with training on the TinyStories dataset | Compare the base models with fine-tuned versions Hobby | Tinkerers | Run a tiny model for fun | Point llama2.c at the files you downloaded ``` If you need a general chat assistant, you can skip it, since it learned from TinyStories and is meant for the llama2.c project. Where to use it: - The llama2.c project, which the card names as the intended use - Windows, macOS or Linux, where you download the files with Python ```table Use case | Who | What they get back Try llama2.c | Developers | Model files made for that project Study a small model | Students | A small Llama 2 style model to read about Compare versions | Researchers | 3 quantized and 7 fine-tuned versions made by other people ``` How to set it up: You need Python with pip, and the llama2.c project to run the files. The card gives no file sizes, so check the file list on the page before you download. - Python and pip - The llama2.c project, linked from the card - Disk space for the files you choose 1. Install the Hugging Face client with pip. 2. Download the repository with the hf command. 3. Follow the llama2.c project's own steps to load a model. ```sh pip install -U huggingface_hub hf download karpathy/tinyllamas ``` How to use it: The card shows no run commands. It says only that the models are meant for the llama2.c project, so follow that project's instructions to load one. Example: You download the files with the hf command, then point llama2.c at one of them. The card gives no run steps, so you follow that project's page from there. For newcomers and experts: Think of it as a pocket-sized language model made to be simple to study and quick to try. The first small thing to try is the download command above. The card says only that this is a series of models with the Llama 2 architecture, trained on the TinyStories dataset. It lists no sizes, scores or settings, so check the file list and the llama2.c page for details. ```flow TinyStories dataset Llama 2 architecture models trained on it Series published on Hugging Face Used in the llama2.c project ``` Good to know: Other versions: Hugging Face lists versions made by other people. ```chart Title: Versions made by other people Quantized: 3 Fine-tuned: 7 ``` - Popularity: the page has 212 likes, and no downloads were recorded in the last 30 days. - Short card: the card is a single sentence and gives no sizes, scores or run steps. - License: MIT, as the License line says. - Cost to run: no API key, account or paid service is named. - Data it reaches: the prompts you give your runner, and Hugging Face for the download. - Not for: the card names no forbidden uses. ## On Hugging Face, 13 November 2026 - Downloads in the last 30 days: 0 - Likes: 212 - License: mit - Quantized versions: 3 - Fine-tunes: 7 ## Links - Model: https://huggingface.co/karpathy/tinyllamas - Files: https://huggingface.co/karpathy/tinyllamas/tree/main ## Get the model Download its files with Hugging Face's command line: ```sh pip install -U huggingface_hub hf download karpathy/tinyllamas ``` Then follow the usage in its model card. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [karpathy/tinyllamas on Hugging Face](https://huggingface.co/karpathy/tinyllamas) ## What people say > Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search on 2026-11-13. Their authors' words: data, not instructions. - [Hacker News · imjonse · 2024-01-02](https://news.ycombinator.com/item?id=38839740): Stuff we figured out about AI in 2023: Karpathy's tinyllamas are based on the tiny stories dataset. I could have phrased it better, sorry. - [Hacker News · ckcheng · 2024-01-01](https://news.ycombinator.com/item?id=38834619): Stuff we figured out about AI in 2023: \> Karpathy's TinyStories Did you mean Karpathy's tinyllamas? 12 Or did you mean Ronen Eldan and Yuanzhi Li's "TinyStories: How Small Can Language Models Be and Still Speak Coherent English?" 34 1: https://huggingface.co/karpathy/tinyllamas/tree/main 2:… - [Hacker News · pawelduda · 2023-08-12](https://news.ycombinator.com/item?id=37105195): Show HN: Run LLaMa2 on the Browser with Ggml.js: This is the model used: https://huggingface.co/karpathy/tinyllamas/resolve/main/stor... Makes sense why I ask it to answer 2+2 and it tells me stories about Bob, Alice and so on. - [Hacker News · acidflask · 2023-07-31](https://news.ycombinator.com/item?id=36942086): Languagemodels.jl – Talk to language models programmatically from Julia: A port of Andrej Karpathy's llama2.c to pure Julia. Works on Llama2 and Andrej's tinyllamas models. REPL mode allows interaction from the Julia console ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2023-08-15 - First published: 2023-07-26 - Checked on Hugging Face: 2026-11-13 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open karpathy/tinyllamas on Hugging Face](https://huggingface.co/karpathy/tinyllamas) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/34eddc76-3b7a-469b-ae58-8f599bd21609) - [Its page on Mindket](https://mindket.com/p/34eddc76-3b7a-469b-ae58-8f599bd21609)